Abstract
A multiple layers neural network characterized by diverging/converging projections between successive layers activated by an external spatio-temporal input pattern in presence of stochastic background activities was considered. In the previous studies we reported the properties and performance of spike information transmission in the network depending on neuron model type, inputed information type and background activity level. The models were rather simple and can be more detailed and bigger in size for further investigation. Based on a technology developed in the integrated physiology, we have implemented the network model on PhysioDesigner, a platform for multilevel mathematical modeling of physiological systems. This article instructs a use case of PhysioDesigner and the assistive function of PhysioDesigner especially for large size neuronal network modeling is demonstrated.
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References
Abeles, M.: Local Cortical Circuits. Springer (1982)
Asai, Y., Villa, A.E.P.: Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds.) ICANN 2010, Part I. LNCS, vol. 6352, pp. 145–154. Springer, Heidelberg (2010)
Asai, Y., Guha, A., Villa, A.E.P.: Deterministic neural dynamics transmitted through neural networks. Neural Networks 21, 799–809 (2008)
Asai, Y., Villa, A.E.P.: Reconstruction of underlying nonlinear deterministic dynamics embedded in noisy spike train. Journal of Biological Physics 34, 325–340 (2008)
Tetko, I.V., Villa, A.E.: A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains. In: Gerstner, W., Hasler, M., Germond, A., Nicoud, J.-D. (eds.) ICANN 1997. LNCS, vol. 1327, pp. 37–42. Springer, Heidelberg (1997)
Asai, Y., Yokoi, T., Villa, A.E.P.: Detection of a Dynamical System Attractor from Spike Train Analysis. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 623–631. Springer, Heidelberg (2006)
Kitano, H.: Computational systems biology. Nature 420(6912), 206–210 (2002)
Izhikevich, E.M.: Which model to use for cortical spiking neurons? IEEE Transactions on Neural Networks 15, 1063–1070 (2004)
Kobayashi, R., Tsubo, Y., Shinomoto, S.: Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front. Comput. Neurosci. 3 (2009), doi:10.3389/neuro.10.009.2009
Nomura, T.: Toward integration of biological and physiological functions at multiple levels. Frontiers in Systems Physiology 1(164) (2010)
Asai, Y., Oka, H., Abe, T., Okita, M., Hagihara, K., Nomura, T., Kitano, H.: An open platform toward large-scale multilevel modeling and simulation of physiological systems. In: Conference Proceedings of the 11th Annual International Symposium on Applications and the Internet, SAINT 2011, pp. 250–255 (2011)
Asai, Y., Suzuki, Y., Kido, Y., Oka, H., Heien, E., Nakanishi, M., Urai, T., Hagihara, K., Kurachi, Y., Nomura, T.: Specifications of insilicoml 1.0: a multilevel biophysical model description language. J. Physiol. Sci. 58(7), 447–458 (2008)
Villa, A.E.P., Iglesias, J.: OpenAdap.net: Evolvable Information Processing Environment. In: Masulli, F., Mitra, S., Pasi, G. (eds.) WILF 2007. LNCS (LNAI), vol. 4578, pp. 227–236. Springer, Heidelberg (2007)
Hucka, M., Finney, A., Sauro, H.M., Bolouri, H., Doyle, J.C., Kitano, H., Arkin, A.P., Bornstein, B.J., Bray, D., Cornish-Bowden, A., Cuellar, A.A., Dronov, S., Gilles, E.D., Ginkel, M., Gor, V., Goryanin, I.I., Hedley, W.J., Hodgman, T.C., Hofmeyr, J.H.H., Hunter, P.J., Juty, N.S., Kasberger, J.L., Kremling, A., Kummer, U., Le Novère, N., Loew, L.M., Lucio, D., Mendes, P., Minch, E., Mjolsness, E.D., Nakayama, Y., Nelson, M.R., Nielsen, P.F., Sakurada, T., Schaff, J.C., Shapiro, B.E., Shimizu, T.S., Spence, H.D., Stelling, J., Takahashi, K., Tomita, M., Wagner, J., Wang, J., Forum, S.: The systems biology markup language (sbml): a medium for representation and exchange of biochemical network models. Bioinformatics 19(4), 524–531 (2003)
Ghosh, S., Matsuoka, Y., Asai, Y., Hsin, K.Y.Y., Kitano, H.: Software for systems biology: from tools to integrated platforms. Nat. Rev. Genet. 12(12), 821–832 (2011)
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Asai, Y., Villa, A.E.P. (2012). Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33269-2_35
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DOI: https://doi.org/10.1007/978-3-642-33269-2_35
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